文献类型：期刊文献

英文题名：Securing image-based document transmission in logistics and supply chain management through cheating-resistant visual cryptographic protocols

作者：Wang, Qi[1];Blesswin, A. John[2];Manoranjitham, T.[3];Akilandeswari, P.[3];Mary, G. Selva[2];Suryawanshi, Shubhangi[4];Karunya, A. Catherine Esther[5]

第一作者：王琦

通讯作者：Blesswin, AJ[1];Mary, GS[1]

机构：[1]Beijing Union Univ, Teachers Coll, Beijing, Peoples R China;[2]SRM Inst Sci & Technol, Directorate Learning & Dev, Kattankulathur 603203, India;[3]SRM Inst Sci & Technol, Sch Comp, Dept Comp Technol, Kattankulathur 603203, Tamilnadu, India;[4]Dr DY Patil Inst Technol, Dept Comp Engn, Pimpri 411018, India;[5]SNS Coll Technol, Dept Artificial Intelligence & Machine Learning, Coimbatore 641035, India

第一机构：北京联合大学师范学院

通讯机构：[1]corresponding author), SRM Inst Sci & Technol, Directorate Learning & Dev, Kattankulathur 603203, India.

年份：2023

卷号：20

期号：11

起止页码：19983-20001

外文期刊名：MATHEMATICAL BIOSCIENCES AND ENGINEERING

收录：;EI(收录号：20234815112718);Scopus(收录号：2-s2.0-85177880724);WOS:【SCI-EXPANDED(收录号:WOS:001100874900011)】；

语种：英文

外文关键词：visual cryptography; cheating-resistant; integrity verification; color image encryption; logistics communication; security; self-authentication

摘要：In today's digital landscape, securing multimedia visual information-specifically color images-is of critical importance across a range of sectors, including the burgeoning fields of logistics and supply chain management. Traditional Visual Cryptography (VC) schemes lay the groundwork for encrypting visual data by fragmenting a secret image into multiple shares, thereby ensuring no single share divulges the secret. Nevertheless, VC faces challenges in ascertaining the integrity of reconstructed images, especially when shares are manipulated maliciously. Existing solutions often necessitate additional shares or a trusted third party for integrity verification, thereby adding complexity and potential security risks. This paper introduces a novel Cheating-Resistant Visual Cryptographic Protocol (CRVC) for Color Images that aims to address these limitations. Utilizing self computational models, this enhanced protocol simplifies the integrated integrity verification process, eliminating the need for extra shares. A standout feature is its capability to securely transmit meaningful shares for color images without compromising the quality of the reconstructed image as the PSNR maintains to be infinity . Experimental findings substantiate the protocol's resilience against quality degradation and its effectiveness in verifying the authenticity of the reconstructed image. This innovative approach holds promise for a wide array of applications, notably in sectors requiring secure document transmission, such as Logistics and Supply Chain Management, E-Governance, Medical and Military Applications.